Create a Sequence in R with a Specified Increment Step In the next subsection, we will have a look at the “by=” argument that enables us to define the increment of the sequence. For example, we can generate a sequence of descending numbers like this: seq(from = 20, to = 1) Code language: R ( r ) This will also make the code much clearer. It is worth noting, however, for more complex functions best practice is to use the names of the arguments. That is, if we write out their values in the same order as written in the function it will produce the same results as using the names. In R, we do not have to use the name of the arguments. That is, running this command will generate the same sequence as in the first example: seq( 1, 10) Code language: R ( r )Īs you can see in the image above (or in the documentation): the first two arguments of seq() are “from =” and “to =”. For example, if you type seq(1, 10) this will become clear. ![]() Now, the most basic use of seq(), however, works the same way as the : operator does. The seq() function serves this purpose and is a generalization of the : operator, which creates a sequence of numbers with a specified arithmetic progression. Often, we desire more control over a sequence we are creating than what the : operator will give us. ![]() Generate a Sequence of Numbers in R with the seq() Function Before we go to the next section it is worth mentioning that you can also use R to transpose a matrix or a dataframe. In the particular case, however, an operator like the colon we used above, you must enclose the symbol in backticks like this: ?’:’. Note, that if you want to know more about a particular R function, you can access its documentation with a question mark followed by the function name: ?function_name_here. Here’s how to create a sequence of numbers, from 1 to 10: 1: 10 Code language: R ( r ) The absolutely simplest way to create a sequence of numbers in R is by using the : operator. Create a Sequence of Numbers in R using the : operator ![]() sequences of the same numbers or a few numbers. Third, we will have a look at how we can use the rep() function to generate e.g. Second, we dive into the seq() function including the arguments that we can use. First, we start having a look at the : operator. In this post, we are going to use the : operator, the seq(), and rep() functions. Often, there is no one way to perform a specific task in R.
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